Machine Learning Engineeer
EC2A1AJ, London, England, United Kingdom
GBP 46K-50K (estimate) Mid-level Full Time
Tasks
- Assess model merit using experimental feedback
- Build custom machine-learning models
- Build probabilistic models
- Communicate model outputs to lab and management
- Develop Bayesian modelling approaches
- Integrate heterogeneous experimental data
- Prototype models on real datasets
- Train colleagues on deployed models
- Transition prototypes into production tools
- Translate biological questions into ML problems
Perks/Benefits
- Coffee and tea
- Critical illness coverage
- Cycle to work scheme
- EMI share options
- Employer pension
- Flexible working
- Fresh fruit
- Income protection
- Onsite gym
- Paid holiday
- Private medical insurance
- Snacks
- Social activities
Skills/Tech-stack
Amazon Web Services | Automated testing | Bayesian Modelling | Cloud Pipeline | Cloud pipeline orchestration | Cloud platform | Conda | Containerization | Data Preprocessing | Data Visualization | Deep learning | Docker | Git | Google Cloud | Google Cloud Platform | Mamba | Matplotlib | NumPy | Pandas | Pipeline Orchestration | Plotly | Probabilistic Modelling | Protein Structure Analysis | Protein sequence analysis | Protein structure | PyTorch | Python | SciPy | Scikit-learn | Sequence analysis | Structure analysis | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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